Podcast Edit Skill

Process raw podcast/meeting recordings into polished podcast episodes.

Capabilities

Smart trimming — Find where the actual podcast starts/ends by transcribing and detecting intros/outros
Filler word removal — Remove verbal tics: 嗯, 呃, 啊, 哦, 对对对, um, uh, etc.
Silence trimming — Cut long dead air (>2s) down to natural pauses (~0.6s)
Audio enhancement — Noise reduction, EQ, multi-speaker volume balancing, loudness normalization to podcast standard (−16 LUFS)
Re-cutting a finished episode — Surgically remove flagged sections from an already-rendered episode without re-running the whole pipeline
Highlight clips & reel — Cut shareable soundbites and stitch a ~1-minute reel with music

ffmpeg and ffprobe installed
OPENAI_API_KEY in environment (for Whisper API transcription)
Python 3 with stdlib only (no extra deps for the helper script)
Optional: resemblyzer (pip install resemblyzer) — only for speaker diarization when building highlight reels